Title :
Fractal wavelet coding using a rate-distortion constraint
Author :
Li, Jin ; Kuo, C. -C Jay
Author_Institution :
Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
We propose a hybrid fractal wavelet coder (FWC) which adopts adaptive fractal prediction in the wavelet domain and wavelet coding in this research. This new compression scheme uses wavelet coding as the core component, and applies contractive mapping (or the so-called fractal prediction) whenever it offers additional rate savings. A model based rate-distortion (R-D) criterion of low complexity is used to evaluate the fractal prediction efficiency and search for the best domain-range match. The superior R-D performance of FWC is demonstrated with extensive experimental results
Keywords :
adaptive codes; fractals; image coding; prediction theory; rate distortion theory; transform coding; wavelet transforms; adaptive fractal prediction; compression; contractive mapping; domain range match; experimental results; fractal prediction efficiency; fractal wavelet coding; hybrid fractal wavelet coder; image coding; model based rate distortion criterion; rate distortion constraint; rate savings; wavelet domain; Fractals; Image coding; Predictive models; Rate-distortion; Signal analysis; Wavelet analysis; Wavelet coefficients; Wavelet domain; Wavelet transforms;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.560607